Within the three-class ROC analysis framework, we address the problem of making inferences about a true class fraction (TCF), given the remaining two. More precisely, we propose a procedure to esti- mate the covariate-specific TCF2, i.e., the covariate-specific probability of correct classification at the so-called early stage, when the values for the true class fractions at first and third classes are fixed. An application to a real dataset is also presented.

To, D., Adimari, G., Chiogna, M., Remoli, G. (2025). Covariate-Specific Estimation of the Sensitivity to the Early Disease Stage in Diagnostic Tests [10.1007/978-3-031-96033-8_68].

Covariate-Specific Estimation of the Sensitivity to the Early Disease Stage in Diagnostic Tests

Monica Chiogna;Gloria Remoli
2025

Abstract

Within the three-class ROC analysis framework, we address the problem of making inferences about a true class fraction (TCF), given the remaining two. More precisely, we propose a procedure to esti- mate the covariate-specific TCF2, i.e., the covariate-specific probability of correct classification at the so-called early stage, when the values for the true class fractions at first and third classes are fixed. An application to a real dataset is also presented.
2025
Statistics for Innovation IV
418
424
To, D., Adimari, G., Chiogna, M., Remoli, G. (2025). Covariate-Specific Estimation of the Sensitivity to the Early Disease Stage in Diagnostic Tests [10.1007/978-3-031-96033-8_68].
To, Duc-Khanh; Adimari, Gianfranco; Chiogna, Monica; Remoli, Gloria
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1038524
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